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Record W4410288876 · doi:10.1103/7lx4-x8rw

Charged-hadron and identified-hadron ( <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:msubsup> <mml:mi>K</mml:mi> <mml:mi>S</mml:mi> <mml:mn>0</mml:mn> </mml:msubsup> <mml:mo>,</mml:mo> <mml:mo> </mml:mo> <mml:mi mathvariant="normal">Λ</mml:mi> <mml:mo>,</mml:mo> <mml:mo> </mml:mo> <mml:msup> <mml:mi mathvariant="normal">Ξ</mml:mi> <mml:mo>−</mml:mo> </mml:msup> </mml:math> ) yield measurements in photonuclear <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:mrow> <mml:mi>Pb</mml:mi> <mml:mo>+</mml:mo> <mml:mi>Pb</mml:mi> </mml:mrow> </mml:math> and <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:mrow> <mml:mi>p</mml:mi> <mml:mo>+</mml:mo> <mml:mi>Pb</mml:mi> </mml:mrow> </mml:math> collisions at <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:mrow> <mml:msqrt> <mml:msub> <mml:mi>s</mml:mi> <mml:mrow> <mml:mi>N</mml:mi> <mml:mi>N</mml:mi> </mml:mrow> </mml:msub> </mml:msqrt> <mml:mo>=</mml:mo> <mml:mn>5.02</mml:mn> <mml:mspace width="0.16em"/> <mml:mi>TeV</mml:mi> </mml:mrow> </mml:math> with ATLAS

2025· article· lv· W4410288876 on OpenAlexafffund

Bibliographic record

VenuePhysical review. C · 2025
Typearticle
Languagelv
FieldPhysics and Astronomy
TopicHigh-Energy Particle Collisions Research
Canadian institutionsSimon Fraser UniversityYork UniversityUniversity of British ColumbiaCarleton UniversityUniversity of TorontoUniversity of VictoriaMcGill UniversityUniversity of AlbertaUniversité de MontréalInstitute of Particle Physics
FundersCHIST-ERAH2020 Marie Skłodowska-Curie ActionsNuclear Fuel Cycle and Supply ChainInstitut National de Physique Nucléaire et de Physique des ParticulesAgencia Estatal de InvestigaciónAgencia Nacional de Promoción Científica y TecnológicaFundação para a Ciência e a TecnologiaJapan Society for the Promotion of ScienceAustralian Research CouncilMinistero dell'Università e della RicercaAgencia Nacional de Investigación y DesarrolloInstitutul de Fizică AtomicăNextGenerationEUForskningsrådet om Hälsa, Arbetsliv och VälfärdH2020 European Research CouncilNorges ForskningsrådMinisterio de Ciencia e InnovaciónHorizon 2020 Framework ProgrammeVetenskapsrådetKnut och Alice Wallenbergs StiftelseMinisterstwo Edukacji i NaukiNarodowe Centrum NaukiCanada Foundation for InnovationConselho Nacional de Desenvolvimento Científico e TecnológicoBundesministerium für Wissenschaft, Forschung und WirtschaftMinisterio de Ciencia, Tecnología e InnovaciónGeneralitat de CatalunyaGeneralitat ValencianaFederación Española de Enfermedades RarasNederlandse Organisatie voor Wetenschappelijk OnderzoekDeutsche ForschungsgemeinschaftChinese Academy of SciencesAustrian Science FundGrantová Agentura České RepublikyNatural Sciences and Engineering Research Council of CanadaMinistry of Education, Culture, Sports, Science and TechnologyBundesministerium für Bildung und ForschungNational Science and Technology CouncilResearch Grants Council, University Grants CommitteeMinisterstvo Školství, Mládeže a TělovýchovyDanmarks GrundforskningsfondScience and Technology Facilities CouncilSchweizerischer Nationalfonds zur Förderung der Wissenschaftlichen ForschungAgence Nationale de la RechercheFundação Carlos Chagas Filho de Amparo à Pesquisa do Estado do Rio de JaneiroU.S. Department of EnergyCarl Tryggers Stiftelse för Vetenskaplig ForskningSingapore Eye Research InstituteJavna Agencija za Raziskovalno Dejavnost RSNational Research FoundationNarodowa Agencja Wymiany AkademickiejEuropean Cooperation in Science and TechnologyGeneral Secretariat for Research and TechnologyEuropean Regional Development FundBritish Columbia Knowledge Development FundCentre National de la Recherche ScientifiqueMax-Planck-GesellschaftNeubauer Family FoundationEuropean CommissionLeverhulme TrustFundação de Amparo à Pesquisa do Estado de São PauloNational Research Council CanadaDepartment of Science and Innovation, South AfricaIstituto Nazionale di Fisica Nucleare Sezione di PadovaNational Science FoundationIstituto Nazionale di Fisica NucleareUK Research and InnovationArizona-Nevada Academy of ScienceBerit Wallenbergs StiftelseEuropean Social FundCentre National pour la Recherche Scientifique et TechniqueRoyal SocietyMinistry of Education, Youth and ScienceAlexander von Humboldt-StiftungTRIUMFBaden-Württemberg StiftungCanarieIsrael Academy of Sciences and HumanitiesCentres de Recerca de CatalunyaCERNTürkiye Enerji, Nükleer ve Maden Araştırma KurumuNational Natural Science Foundation of ChinaMinistry of Science and Technology of the People's Republic of China
KeywordsComputer science

Abstract

fetched live from OpenAlex

This paper presents the measurement of charged-hadron and identified-hadron ( <a:math xmlns:a="http://www.w3.org/1998/Math/MathML"> <a:msubsup> <a:mi>K</a:mi> <a:mi mathvariant="normal">S</a:mi> <a:mn>0</a:mn> </a:msubsup> <a:mo>,</a:mo> <a:mo> </a:mo> <a:mi mathvariant="normal">Λ</a:mi> <a:mo>,</a:mo> <a:mo> </a:mo> <a:msup> <a:mi mathvariant="normal">Ξ</a:mi> <a:mo>−</a:mo> </a:msup> </a:math> ) yields in photonuclear collisions using <e:math xmlns:e="http://www.w3.org/1998/Math/MathML"> <e:mrow> <e:mn>1.7</e:mn> <e:mspace width="0.16em"/> <e:msup> <e:mi>nb</e:mi> <e:mrow> <e:mo>−</e:mo> <e:mn>1</e:mn> </e:mrow> </e:msup> </e:mrow> </e:math> of <g:math xmlns:g="http://www.w3.org/1998/Math/MathML"> <g:mrow> <g:msqrt> <g:msub> <g:mi>s</g:mi> <g:mrow> <g:mi>N</g:mi> <g:mi>N</g:mi> </g:mrow> </g:msub> </g:msqrt> <g:mo>=</g:mo> <g:mn>5.02</g:mn> <g:mspace width="0.16em"/> <g:mi>TeV</g:mi> </g:mrow> <g:mo> </g:mo> <g:mrow> <g:mi>Pb</g:mi> <g:mo>+</g:mo> <g:mi>Pb</g:mi> </g:mrow> </g:math> data collected in 2018 with the ATLAS detector at the Large Hadron Collider. Candidate photonuclear events are selected using a combination of tracking and calorimeter information, including the zero-degree calorimeter. The yields as a function of transverse momentum and rapidity are measured in these photonuclear collisions as a function of charged-particle multiplicity. These photonuclear results are compared with <i:math xmlns:i="http://www.w3.org/1998/Math/MathML"> <i:mrow> <i:mn>0.1</i:mn> <i:mspace width="0.16em"/> <i:msup> <i:mi>nb</i:mi> <i:mrow> <i:mo>−</i:mo> <i:mn>1</i:mn> </i:mrow> </i:msup> </i:mrow> </i:math> of <k:math xmlns:k="http://www.w3.org/1998/Math/MathML"> <k:mrow> <k:msqrt> <k:msub> <k:mi>s</k:mi> <k:mrow> <k:mi>N</k:mi> <k:mi>N</k:mi> </k:mrow> </k:msub> </k:msqrt> <k:mo>=</k:mo> <k:mn>5.02</k:mn> <k:mspace width="0.16em"/> <k:mi>TeV</k:mi> </k:mrow> <k:mo> </k:mo> <k:mrow> <k:mi>p</k:mi> <k:mo>+</k:mo> <k:mi>Pb</k:mi> </k:mrow> </k:math> data collected in 2016 by ATLAS using similar charged-particle multiplicity selections. These photonuclear measurements shed light on potential quark-gluon plasma formation in photonuclear collisions via observables sensitive to radial flow, enhanced baryon-to-meson ratios, and strangeness enhancement. The results are also compared with the Monte Carlo generator and hydrodynamic calculations to test whether such photonuclear collisions may produce small droplets of quark-gluon plasma that flow collectively.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.015
metaresearch head score (Gemma)0.011
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow), Meta-epidemiology (broad), Science and technology studies, Scholarly communication, Open science, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Science and technology studies, Open science, Research integrity, Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.787
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0150.011
Meta-epidemiology (narrow)0.0090.017
Meta-epidemiology (broad)0.0040.015
Bibliometrics0.0060.012
Science and technology studies0.0140.014
Scholarly communication0.0130.012
Open science0.0180.018
Research integrity0.0160.016
Insufficient payload (model declined to judge)0.2200.019

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.021
GPT teacher head0.259
Teacher spread0.237 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; both teacher heads agree on what is shown here.

Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations3
Published2025
Admission routes2
Has abstractyes

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Same venuePhysical review. CSame topicHigh-Energy Particle Collisions ResearchFrench-language works237,207